How to Use Skin Data for Merchandising
Merchandise for your customers, not the average
Most merchandising follows national trends or supplier pushes. Skin data lets you merchandise for the customers you actually have. When shoppers scan, you learn the concerns most common in your store or region, so you can stock, face out and promote the products that will sell to those people rather than to a national average that may not match your catchment.
Stock to real demand
Aggregate scan data shows the true shape of demand.
- See which concerns dominate, such as hyperpigmentation, dryness or congestion, and weight your range toward them.
- Spot underserved concerns you are not stocking for and fill the gap.
- Reduce lines that match concerns your customers rarely have, which cuts dead stock.
This turns buying from a guess into a decision backed by your own demand data. See the analytics.
Place the right heroes in the right spots
Skin data guides placement as well as range. Put the products that match your most common concerns at eye level and in the highest traffic positions. Group by concern so a shopper can find their aisle. When the layout mirrors what your customers actually need, more of them find the right product without help, which lifts conversion on the floor.
Match promotions to demand and tone
Promote what your customers want, not what a supplier wants to clear. If your data shows a high share of deeper skin customers with pigmentation concerns, promote the products that serve them well. Matching promotions to real demand and to the full range of skin tones means your marketing budget lands on products people will actually buy, and it reaches customers a generic promotion would overlook.
Merchandise across seasons
Skin concerns shift with the seasons and the climate. Barrier and hydration concerns often rise in dry or cold periods, while oil control and sun protection rise in hot ones. Watch how the concern mix in your scan data moves through the year and adjust facings and stock ahead of the shift, so you have the right products in place when demand arrives rather than after it.
Close the loop with sell through
Merchandising is a loop, not a one time plan. Compare what your skin data predicted with what actually sold. Where a well stocked, well placed product still underperforms, the issue may be the page, the price or the recommendation, not the demand. A skin aware CRM lets you connect demand, placement and sell through, so each cycle of merchandising is sharper than the last. Explore how partners do it.
Frequently asked
Skin data from customer scans shows the concerns most common among your actual customers, so you can stock, place and promote the products that will sell to them rather than following a national average. This lifts sell through and cuts dead stock.
By revealing the true shape of demand in your store or region, skin data lets you weight your range toward the concerns your customers actually have and reduce lines that match concerns they rarely have, which lowers the stock that never sells.
Yes. It shows which concerns dominate, so you can place the matching hero products at eye level and in high traffic positions and group products by concern. A layout that mirrors real customer needs helps more shoppers find the right product on their own.
It does. Skin concerns shift with the seasons, so watching how the concern mix in your scan data moves through the year lets you adjust facings and stock ahead of demand, putting the right products in place before the shift rather than after.
Yes. Even a modest volume of scans reveals the concerns most common among your customers, which is enough to weight your range, place heroes well and cut dead stock. The data reflects your actual catchment rather than a national average.
See what skin intelligence does for your business.
Oyster reads skin accurately on every tone and turns it into the right recommendation.